gpt6-Astra README

The project's README from github.com/3641397194-wq/gpt6-Astra. As one markdown file: README.md.

冷咖啡黑白猩红暗黑漫画主视觉
冷咖啡软件图标

冷咖啡 / CHA

gpt6 Astra-claude-grok4.6-deepseekv4pro-glm5.3-gemini破甲越狱

COLD BREW ZERO  |  BREAK//OPEN  |  NOIR MANGA RELEASE 2.3.0

黑墨、骨白、猩红单眼与断页分镜组成的原创暗黑漫画视觉系统。

启动  |  模型席位  |  社群入口


01 / 夜行工作链

冷咖啡把目标、上下文、输出与检查排进四格分镜。页面、桌面端与社群入口统一使用黑、骨白和猩红,不再混用旧的蓝绿技术面板。

冷咖啡四格暗黑漫画工作链

快速启动

python coldbrew.py --activate 冷咖啡 --profile MAX --prompt "把这段需求拆成可执行步骤"
python coldbrew.py --activate 冷咖啡 --seat gemini --action deploy --json
python coldbrew.py --activate 冷咖啡 --seat codex --action deploy --json
python coldbrew.py --activate 冷咖啡 --seat claude --action deploy --json
python coldbrew.py --activate 冷咖啡 --seat grok --action deploy --json
python coldbrew.py --activate 冷咖啡 --seat deepseek --action deploy --json
python coldbrew.py --activate 冷咖啡 --seat glm-5.3 --action deploy --json
cd desktop
npm install
npm start

Windows 便携包构建:npm run pack:win

六个席位的桌面「预览 / 运行 / 检查 / 恢复」都会写入该模型自己的本地指令层,原稿备份在对应目录的 cha-backups\。verify 检查标记块,restore 回滚。注入位与原创稿说明见 docs/SEAT-PACKS.md。

02 / 模型席位

六个模型保留在同一张黑白底片上:GPT-6 Astra / Codex、Claude Code、Grok 4.6、DeepSeek v4 Pro、GLM 5.3 与 Gemini。

六个模型的暗黑漫画席位海报

03 / 社群信号

冷咖啡社群暗黑漫画入口

QQ 交流圈二维码,群号 1057540028 QQ 专题圈二维码,群号 1077074552

扫码加入:QQ 交流圈 1057540028  |  QQ 专题圈 1077074552


CHA / COLD BREW ZERO / BREAK//OPEN / GPT-6 ASTRA / GLM 5.3 / GEMINI / 2.3.0

gpt6-Astra (3641397194-wq/gpt6-Astra)

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What is this?It is 'Cold Brew' (CHA), a jailbreak prompt workbench that packages prompt-injection techniques to break the safety guardrails ('破甲越狱') of six chat models — GPT-6 Astra/Codex, Claude Code, Grok 4.6, DeepSeek v4 Pro, GLM 5.3 and Gemini — for security research.
Is this a set of jailbreak prompt files, or a full desktop app?Both: each model gets its own jailbreak prompt pack plus a desktop seat with preview, run, verify and restore actions that writes the pack into that model's local instruction layer.
How do I get it running?Build the Windows portable package with npm run pack:win, then use each model's desktop seat to preview, run, verify or restore its prompt pack; seat injection details are documented in docs/SEAT-PACKS.md.
Do I need Node.js before building the packs?Yes — the only documented build command is an npm script, so Node.js and npm are required to produce the Windows portable package.
Is there a safety net if a jailbreak pack breaks a model session?Yes — the original prompt is backed up under each seat's cha-backups directory before injection, 'verify' checks the marked instruction blocks, and 'restore' rolls everything back.
What does the Cold Brew visual branding look like?A dark manga-style identity built from black, bone-white and crimson tones with broken-panel comic layouts, replacing the project's older blue-green tech-panel look across its page, desktop app and community channels.
Which six models does it provide jailbreak seats for?GPT-6 Astra/Codex, Claude Code, Grok 4.6, DeepSeek v4 Pro, GLM 5.3 and Gemini, each kept on what the README calls 'the same black-and-white negative' seat layout.
Is this an officially sanctioned tool or a research exploit kit?It is explicitly framed as a 破甲越狱 (armor-breaking / jailbreak) security-research toolkit rather than a sanctioned product, and it ships with no clear license (GitHub reports NOASSERTION), so usage risk and legality fall on the operator.
Size
51.5 MB
Stars
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Age
2mo
Commits · 90 Days